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Platform · Speech analytics

Real-time speech analytics software for contact centers: every call transcribed, categorized and searchable — in any language, seconds after it ends.

Listening to a sample tells you what happened to a sample. Ender Turing turns every call, chat and email into a transcript, a topic, a score and a set of metrics the moment it ends — so the reasons customers call, the words that lose them and the lines agents skip are on one dashboard, and the week can be asked a question in plain language.

100% of conversations Any language Analyzed in seconds 4.8/5 on G2
Ender Turing dashboards: conversation volume, conversation sentiment, CSAT, conversation reasons, visitor questions, products, first call resolution, agent retention score, average handle time
Product screenshot — the reasons, questions and products behind the calls, with sentiment and CSAT.
The problem

Call center speech analytics exists because listening does not scale.

1

You hear 2% of the calls

Quality reviewers can listen to a handful of calls per agent per month. The other 98% — the complaints, the missed upsells, the script that was skipped — happen unheard.

2

The reasons customers call live in agents' heads

Why did volume spike on Tuesday? Which product drives repeat calls? The answers exist in thousands of recordings nobody can search.

3

Reports arrive after the quarter

By the time a trend reaches a slide, the campaign is over and the agent has moved on. Managers need the numbers the same day, not the same quarter.

What you get

Every function of the speech analytics software is documented — the link on each card is the guide.

Standard templates for your case are installed on sign-up; the plan comparison shows which plan includes each function.

1

Every conversation transcribed and searchable

Calls, chats and emails become transcripts with speaker labels. Discovery searches every transcript for a word or phrase and opens the conversation at the moment it was said; a custom vocabulary corrects the names speech recognition gets wrong, so product and agent names read correctly everywhere.

2

Topics that learn — and show their accuracy

Group conversations into themes with generative AI, filter rules or human labels. Gen AI topics are tuned by reviewing samples, and their accuracy is checked and calibrated against your reviewers, so "complaint", "cancellation" or "upsell" mean what your team means.

3

Tags and required lines, scored per call

Tags find the keywords and phrases that matter, split by speaker. Compliance rules define the lines that must be said and produce a per-call script-adherence score you can highlight in the transcript, filter on and report against.

4

The metrics behind every call

Silence share, longest monologue, holds and hold time, waiting and response time, call direction, repetitive calls from the same customer, CSAT and NPS where your platform supplies them — all filters on the conversation list, all dimensions on the charts.

5

Funnels, charts, dashboards, executive boards

Funnels track how conversations move through stages and where they drop; charts cut volume, duration, cost and customer metrics by agent, team, topic and time; dashboards carry the team view; C-level boards consolidate it for the executive, with built-in CSAT Dynamics and Interaction Intensity analyses.

6

Ask the data — and let it come to you

Chat with EnderGPT answers questions about your conversations with citations to the calls; scheduled chats run the same question every day, week or month — for the team, or as a separate report per agent; email reports deliver dashboards on a schedule; Enders turn a finding into an action — notify a manager, set a topic, run a review.

Numbers we've helped customers move

What changes when every conversation is analyzed.

  • 100%Calls automatically scored (vs. 3–5% manual baseline)Quality coverage
  • +19%Average lift in customer satisfactionCSAT
  • −15%Reduction in average handle timeAHT
  • 68hQA hours saved per specialist per monthProductivity

Averages across our contact-center deployments — each customer's own numbers are in the case studies. Case studies →

In the product

What a manager sees.

Product screenshots — dashboards and analyses from the platform, not illustrations.

Ender Turing dashboard: internal experience score, average calls per day, duration distribution, common metrics per agent and the agent scoring table
Common metrics per agent — calls, duration, experience score, silence, cross-talk — with agent scoring on top.
Ender Turing chart: a metric trend line over time with the agent table below
Trend lines by week and the agent table behind them.
Ender Turing funnel and pipeline view with stage bars and conversion between stages
Funnels: how conversations move through stages, and where they stop.
Ender Turing automatic call summaries: short structured notes of what the client wanted and what the agent did
Automatic summaries: what the customer wanted, what the agent did.
From analytics to action

Speech analytics is where it starts, not where it ends.

Score every call on your criteria

Speech analytics tells you what happened; AutoQA scores it on your scorecard, on 100% of calls, with its accuracy against your reviewers shown.

Coach from the calls that worked

Playlists, training plans and each agent's own dashboard turn the findings into the next week's behavior.

Connect the platform you already use

Genesys Cloud, Five9, NICE CXone, Talkdesk, Amazon Connect, Zendesk, GoHighLevel — or the browser extension on 18 platforms.

Speech analytics FAQ

What contact centers ask before choosing speech analytics software.

What is speech analytics — and is it the same as conversation intelligence?

Largely the same thing under two names. Speech analytics is the contact-center term: recorded calls turned into transcripts, topics, keywords and metrics such as silence and talk time, so the team sees what happens across all calls instead of the few someone listens to. Conversation intelligence is the same idea named by the sales world — calls and meetings, coaching, deal context. Ender Turing does both on one set of conversations; this page describes what it makes of the words that were said.

Is it real-time?

Yes, on both sides of the call. The analytics runs in real time: each conversation is transcribed, summarized, categorized and scored seconds after it ends, and dashboards, funnels and boards update as it arrives — on 100% of calls, not a sample. During the call, a separate Ender Turing product gives agents real-time suggestions; ask us about it when you sign up.

How much does speech analytics software cost — is there a free version?

There is a free plan with no expiry: up to 5 agents, 100 calls per agent a month, calls up to 10 minutes — every call transcribed in any language, summarized, searchable and sorted into topics from the standard templates, with dashboards, the repeat-contact view and EnderGPT answers. Team is $39 per agent a month with no limits and adds your own topics with accuracy tracking, corrections for the names speech recognition gets wrong, the CSAT analysis and custom charts; Business ($79) adds executive boards, scheduled reports and implementation engineers.

Compare the plans →

How do you choose speech analytics software?

Five checks. It analyzes every call, not a sample, in every language your customers speak. It sits on top of the contact center platform you run instead of replacing it. Its accuracy can be checked: topics calibrated against your own reviewers, and the product and agent names it mishears corrected with your own vocabulary. It answers questions in plain language with the calls cited, and acts on what it finds — alerts, automations, coaching. And its price is published. Ender Turing does all five, on speech recognition its own R&D team builds, with a free plan to try it on your own calls.

Can it find why customers call back?

Yes. The repeat-contact view shows every conversation with the same customer, and topics show what each was about, so the reasons customers call back become a chart rather than an anecdote. EnderGPT answers "why did customers call back this week?" with the calls cited, and a scheduled chat can turn the answer into a coaching note for each agent every week.

Does it detect sentiment and intent?

Yes. Topics classify what each conversation was about and what stage it reached — including intent categories you define, learned by generative AI from your own samples. The built-in CSAT Dynamics and Interaction Intensity analyses read how the customer's satisfaction and the intensity of the exchange moved from the start of the call to its end, and appear as boards when the data is there.

Which languages does it support?

Any language. Custom vocabulary corrects the product, company and agent names speech recognition tends to get wrong.

How is this different from Verint, CallMiner or NICE speech analytics?

Three things you can check rather than take on trust: a free plan and transparent per-seat pricing instead of an enterprise quote; generative answers — you ask the week a question and get an answer with the calls cited — instead of building queries; and topics and scorecards whose accuracy is measured against your own reviewers and improved from their reviews. The connections are read-only, so it sits next to the platform you have.

Read the CallMiner vs Verint vs Medallia comparison →

Speech analytics or QA automation — which one is this?

Both, on the same conversations. The analytics layer on this page — transcripts, topics, tags, metrics, funnels — describes what happened. The quality layer scores it: AutoQA answers your scorecard on every call, with its accuracy shown per criterion. One workspace, one set of conversations, two views on them.

Does it cover chats and emails, not only calls?

Yes. Conversations are calls, chats, emails and web records, on the same filters, topics, scorecards and dashboards, so a customer who called and then wrote appears as one story rather than two systems.

Does it sit on top of our contact center platform, or replace it?

It sits on top. Conversations arrive read-only from the platform you already run: through a documented app or connector for Genesys Cloud, Five9, Zendesk, Fireflies and GoHighLevel; through the Ender Turing browser extension, which records browser-based calls on 18 platforms, NICE CXone, Talkdesk and Amazon Connect among them; or through the REST API, an SFTP export or upload. Nothing is written back, and your platform keeps routing the calls.

All integrations →

Can we outsource speech analytics rather than run it ourselves?

The platform is built to run without an analyst: standard templates for your case are installed on sign-up, topics learn from samples, dashboards and reports arrive on a schedule, and the Business plan adds implementation engineers who set up connectors and scorecards with you. If you want a partner to run the whole analysis for you, write to us and we introduce one.

What about security and personal data?

Ender Turing is SOC 2 Type II audited and handles data in a GDPR-compliant way on every plan; Enterprise adds private cloud or on-premise deployment. Anonymization redacts configured sensitive words in transcripts and masks the matching audio; Roles decide who can open which team's conversations.

Security, hosting regions, sub-processors and response times are documented on the Data Security page; SOC 2 Type II audited, the latest report available under NDA.

Free for up to 5 agents

See this week's calls as topics, scores and answers — not as a queue to listen to.

Sign up, connect your platform or upload recordings, and the first conversations come back transcribed, categorized and scored the same day.